Effects of a multicomponent communication training to involve older people in decisions to DEPRESCRIBE cardiometabolic medication in primary care (CO-DEPRESCRIBE): protocol for a cluster randomized controlled trial with embedded process and economic evaluation.

BACKGROUND: Deprescribing of medication for cardiovascular risk factors and diabetes has been incorporated in clinical guidelines but proves to be difficult to implement in primary care. Training of healthcare providers is needed to enhance deprescribing in eligible patients. This study will examine the effects of a blended training program aimed at initiating and conducting constructive deprescribing consultations with patients. METHODS: A cluster-randomized trial will be conducted in which local pharmacy-general practice teams in the Netherlands will be randomized to conducting clinical medication reviews with patients as usual (control) or after receiving the CO-DEPRESCRIBE training program (intervention). People of 75 years and older using specific cardiometabolic medication (diabetes drugs, antihypertensives, statins) and eligible for a medication review will be included. The CO-DEPRESCRIBE intervention is based on previous work and applies models for patient-centered communication and shared decision making. It consists of 5 training modules with supportive tools. The primary outcome is the percentage of patients with at least 1 cardiometabolic medication deintensified. Secondary outcomes include patient involvement in decision making, healthcare provider communication skills, health/medication-related outcomes, attitudes towards deprescribing, medication regimen complexity and health-related quality of life. Additional safety and cost parameters will be collected. It is estimated that 167 patients per study arm are needed in the final intention-to-treat analysis using a mixed effects model. Taking loss to follow-up into account, 40 teams are asked to recruit 10 patients each. A baseline and 6-months follow-up assessment, a process evaluation, and a cost-effectiveness analysis will be conducted. DISCUSSION: The hypothesis is that the training program will lead to more proactive and patient-centered deprescribing of cardiometabolic medication. By a comprehensive evaluation, an increase in knowledge needed for sustainable implementation of deprescribing in primary care is expected. TRIAL REGISTRATION: The study is registered at ClinicalTrials.gov (identifier: NCT05507177).

[Managing multimorbidity is more than counting the number of conditions]. / Zorg voor multimorbiditeit is meer dan het tellen van ziektes.

The prevalence of patients with multimorbidity, defined by two chronic conditions is rapidly increasing. Defining multimorbidity remains challenging, with varying criteria in research. A recent study by MacRae et al. examined the impact of the number and selection of conditions on estimated multimorbidity prevalence, revealing significant variations from 4.6% to 40.5%. To standardize the definition for research, MacRae et al. recommend using three measurement instruments (Ho always + usually, Barnett, or Fortin condition-lists) to consistently measure prevalence over time. Multimorbidity's complexity is not adequately captured by dichotomous definitions, as this depends on context and purpose. Chronic diseases profoundly affect daily life, leading to reduced physical function and adverse psychosocial outcomes. Patients often experience increased stress, anxiety, and depression, which can further exacerbate somatic conditions. To assess multimorbidity from a patient perspective, considering experienced health and quality of life indicators like ADL functioning, mobility, mood, memory, and social factors is crucial. Effectively managing multimorbidity requires a holistic, tailored approach, including identifying and prioritizing key health issues, promoting self-management, proactive care planning, and coordinating treatments. Understanding the potential for differential treatment effects and considering individual life expectancy is vital. Multimorbidity also places a significant burden on healthcare systems, leading to fragmented care, communication gaps, and increased costs. Identifying complex disease clusters with high mortality and resource utilization can guide integrated care efforts. In less complex cases, primary care physicians can collaborate to provide comprehensive care. Multimorbidity remains a priority in healthcare, necessitating appropriate measurement and tailored interventions for diverse populations.

Clusters of medical specialties around patients with multimorbidity - employing fuzzy c-means clustering to explore multidisciplinary collaboration.

BACKGROUND: Hospital care organization, structured around medical specialties and focused on the separate treatment of individual organ systems, is challenged by the increasing prevalence of multimorbidity. To support the hospitals' realization of multidisciplinary care, we hypothesized that using machine learning on clinical data helps to identify groups of medical specialties who are simultaneously involved in hospital care for patients with multimorbidity. METHODS: We conducted a cross-sectional study of patients in a Dutch general hospital and used a fuzzy c-means clustering algorithm for the analysis. We explored the patients' membership degrees in each cluster to identify subgroups of medical specialties that provide care to the same patients with multimorbidity. We used retrospectively collected electronic health record data from 2017. We extracted data from 22,133 patients aged ≥18 years who had received outpatient clinical care for two or more chronic and/ or oncological diagnoses. RESULTS: We found six clusters of medical specialties and identified 22 subgroups. The clusters were labeled based on the specialties that most characterized them: 1. dermatology/ plastic surgery, 2. six specialties (gynecology/ rheumatology/ orthopedic surgery/ urology/ gastroenterology/ otorhinolaryngology), 3. pulmonology, 4. internal medicine/ cardiology/ geriatrics, 5. neurology/ physiatry (rehabilitation)/ anesthesiology, and 6. internal medicine. Most patients had a full or dominant membership to one of these clusters of medical specialties (11 subgroups), whereas fewer patients had a membership to two clusters. The prevalence of specific diagnosis groups, patient characteristics, and healthcare utilization differed between subgroups. CONCLUSION: Our study shows that clusters and subgroups of medical specialties simultaneously involved in hospital care for patients with multimorbidity can be identified with fuzzy c-means cluster analysis using clinical data. Clusters and subgroups differed regarding the involved medical specialties, diagnoses, patient characteristics, and healthcare utilization. With this strategy, hospitals and medical specialists can further analyze which subgroups are target populations that might benefit from improved multidisciplinary collaboration.

A Delphi consensus checklist helped assess the need to develop rapid guideline recommendations.

BACKGROUND AND OBJECTIVES: We aimed to develop a checklist to aid guideline developers in determining which scientific or societal cause ("triggers") are relevant when considering to initiate a rapid recommendation procedure. METHODS: We conducted a two-round modified Delphi procedure with a panel of Dutch guideline experts, clinicians, and patient representatives. A previously conducted systematic literature review and semistructured interviews with four science journalists were used to generate a list of potential items. This item list was submitted to the panel for discussion, reduction and refinement into a checklist. RESULTS: Thirteen experts took part. Two questionnaires were completed in which participants scored an initial list of 64 items based on relevance. During two online meetings, the scores were discussed, irrelevant items were removed, and relevant items were reformulated into seven questions. The final "quickscan assessment of the need for a rapid recommendation" covers user perspective, scientific evidence, clinical relevance, clinical practice variation, applicability, quality of care and public health outcomes, and ethical/legal considerations. CONCLUSION: The quickscan aids guideline developers in systematically assessing whether a trigger expresses a valid need for developing a rapid recommendation. Future research could focus on the applicability and validity of the checklist within guideline development programs.

Management of diabetes patients with comorbidity in primary care: a mixed-method study in Odisha, India.

BACKGROUND: Diabetes patients with comorbidities need regular and comprehensive care for their disease management. Hence, it is essential to assess the primary care preparedness for managing diabetes patients and the perspectives of the diabetes patients on the care received at the primary care facilities. METHODS: All 21 Urban Primary Health Centres (UPHCs) in Bhubaneswar city of Odisha, India, were assessed using the modified Primary Care Evaluation Tool and WHO Package of Essential Non-communicable disease interventions questionnaire. Additionally, 21 diabetes patients with comorbidities were interviewed in-depth to explore their perception of the care received at the primary care facilities. RESULTS: All the UPHCs had provisions to meet the basic requirements for the management of diabetes and common comorbidities like hypertension. There were few provisions for chronic kidney illness, cardiovascular disease, mental health, and cancer. Diabetes patients felt that frequent change in primary care physicians at the primary care facilities affected their continuity of care. Easy accessibility, availability of free medicines, and provisions of basic laboratory tests at the facilities were felt to be necessary by the diabetes patients. CONCLUSION: Our study highlights the existing gaps in India's healthcare system preparedness and the needs of diabetes patients with comorbidity. The government of India's Health and Wellness (HWC) scheme aims to deliver comprehensive healthcare to the population and provide holistic care at the primary care level for NCD patients. It is imperative that there is an early implementation of the various components of the HWC scheme to provide optimal care to diabetes patients.

[Are guidelines still supportive in clinical practice?] / Zijn richtlijnen nog ondersteunend in de praktijk?

Clinical practice guidelines are fundamental to support knowledge and decision making of healthcare professionals in many disciplines. They can contribute to reducing undesirable practice variation, educating patients, and monitoring care. However, the burden increases if the number and size of guidelines continues to increase and as more side effects occur due to injudicious use, both in the professional and policy setting. Restricting the scope and finding the right balance between completeness and conciseness are major challenges for guideline developers and stakeholders. Ongoing innovation projects are working on improving accessibility, updating, and applicability in multimorbidity through optimal use of digital technologies. As long as healthcare professionals are in the lead in guideline development and involved in policy making, doctors can continue to rely on guidelines, if used correctly for the right care.

Identifying and prioritizing do-not-do recommendations in Dutch primary care.

BACKGROUND: Low-value care provides minimal or no benefit for the patient, wastes resources, and can cause harm. Explicit do-not-do recommendations in clinical guidelines are a first step in reducing low-value care. The aim of this study was to identify and prioritize do-not-do recommendations in general practice guidelines with priority for implementation. METHODS: We used a mixed method design in Dutch primary care. First, we identified do-not-do recommendations through a systematic assessment of 92 Dutch guidelines for general practitioners (GPs), resulting in 385 do-not-do recommendations. Second, we selected 146 recommendations addressing high prevalent conditions. Third, a random sample of 5000 Dutch GPs was invited for an online survey to prioritize recommendations based on the prevalence of the condition and low-value care practice, potential harm, and potential cost reduction on a scale from 1 to 5/6. Total scores could range from 4 to 22. Recommendations with a median score > 12 were included. In total, 440 GPs completed the survey. RESULTS: The selection process led to 30 prioritised recommendations. These covered drug treatments (n = 12), diagnostics (n = 10), referral to other healthcare professions (n = 5), and non-drug treatment (n = 3). CONCLUSION: Dutch clinical guidelines include many do-not-do recommendations that are perceived as highly relevant by the GPs. The list of 30 high-priority do-not-do recommendations can be used to raise awareness of low-value care among GPs. As the recommendations are supported with the latest evidence from international studies, primary healthcare professionals and policy makers worldwide can use the list for further validating the list in their local context and designing strategies to reduce low-value care.

[Coordinating and tailoring hospital care for patients with multimorbidity: who will take the lead?] / Regie bij multimorbiditeit in het ziekenhuis.

OBJECTIVE: To gain insight in medical specialists' and nurse practitioners' opinions on multimorbidity and coordination and tailoring of hospital care. DESIGN: Exploratory mixed-method design. METHOD: From August 2018 until January 2019, 35 Dutch medical associations were asked to forward a digital survey with open- and close-ended questions to their members. We used qualitative and quantitative methods to analyze the data. The main themes were identified with inductive, thematic analysis. RESULTS: There were 554 respondents from 22 associations, 43% of the medical specialist respondents were internist (n=221). The qualitative analysis of the answers regarding what is required in hospital care for patients with multimorbidity resulted in eight themes at the patient's, professional's and hospital organization's level. To the open question about who should take the lead, respondents most often answered the geriatrician or internist, followed by the general practitioner, 'the care professional who is treating the main problem', a nurse practitioner/physician assistant and the 'attending physician of the primary team'. All geriatricians and almost all internists felt they possessed the competencies to take the lead in hospital care for patients with multimorbidity. CONCLUSION: Medical specialists' and nurse practitioners' diverse ideas about who should take the lead in hospital care for patients with multimorbidity were a noteworthy finding. It is important to start local conversations about how to divide roles and responsibilities regarding the coordination and tailoring of hospital care for patients with multimorbidity.

Low-value pharmaceutical care among Dutch GPs: a retrospective cohort study.

BACKGROUND: Low-value pharmaceutical care exists in general practice. However, the extent among Dutch GPs remains unknown. AIM: To assess the prevalence of low-value pharmaceutical care among Dutch GPs. DESIGN AND SETTING: Retrospective cohort study using data from patient records. METHOD: The prevalence of three types of pharmaceutical care prescribed by GPs between 2016 and 2019 were examined: topical antibiotics for conjunctivitis, benzodiazepines for non-specific lower back pain, and chronic acid-reducing medication (ARM) prescriptions. Multilevel logistic regression analysis was performed to assess prescribing variation and the influence of patient characteristics on receiving a low-value prescription. RESULTS: Large variation in prevalence as well as practice variation was observed among the types of low-value pharmaceutical GP care examined. Between 53% and 61% of patients received an inappropriate antibiotics prescription for conjunctivitis, around 3% of patients with lower back pain received an inappropriate benzodiazepine prescription, and 88% received an inappropriate chronic ARM prescription during the years examined. The odds of receiving an inappropriate antibiotic or benzodiazepine prescription increased with age (P<0.001), but decreased for chronic inappropriate ARM prescriptions (P<0.001). Sex affected only the odds of receiving a non-indicated chronic ARM, with males being at higher risk (P<0.001). The odds of receiving an inappropriate ARM increased with increasing neighbourhood socioeconomic status (P<0.05). Increasing practice size decreased the odds of inappropriate antibiotic and benzodiazepine prescriptions (P<0.001). CONCLUSION: The results show that the prevalence of low-value pharmaceutical GP care varies among these three clinical problems. Significant variation in inappropriate prescribing exists between different types of pharmaceutical care - and GP practices.

Development and internal validation of prediction models for future hospital care utilization by patients with multimorbidity using electronic health record data.

OBJECTIVE: To develop and internally validate prediction models for future hospital care utilization in patients with multiple chronic conditions. DESIGN: Retrospective cohort study. SETTING: A teaching hospital in the Netherlands (542 beds). PARTICIPANTS: All adult patients (n = 18.180) who received care at the outpatient clinic in 2017 for two chronic diagnoses or more (including oncological diagnoses) and who returned for hospital care or outpatient clinical care in 2018. Development and validation using a stratified random split-sample (n = 12.120 for development, n = 6.060 for internal validation). OUTCOMES: ≥2 emergency department visits in 2018, ≥1 hospitalization in 2018 and ≥12 outpatient visits in 2018. STATISTICAL ANALYSIS: Multivariable logistic regression with forward selection. RESULTS: Evaluation of the models' performance showed c-statistics of 0.70 (95% CI 0.69-0.72) for the hospitalization model, 0.72 (95% CI 0.70-0.74) for the ED visits model and 0.76 (95% 0.74-0.77) for the outpatient visits model. With regard to calibration, there was agreement between lower predicted and observed probability for all models, but the models overestimated the probability for patients with higher predicted probabilities. CONCLUSIONS: These models showed promising results for further development of prediction models for future healthcare utilization using data from local electronic health records. This could be the first step in developing automated alert systems in electronic health records for identifying patients with multimorbidity with higher risk for high healthcare utilization, who might benefit from a more integrated care approach.

Health care utilization and out-of-pocket expenditure of type 2 diabetic patients: A study in primary care in Bhubaneswar, India.

Background: Globally, noncommunicable diseases (NCD) demand a higher healthcare expenditure. Among NCDs, diabetes mellitus is often associated with multiple, co-existing chronic conditions. In low- and middle-income countries where most of the healthcare expenditure is borne out of pocket, diabetes management may pose a significant financial stress. Methods: A cross-sectional study was conducted in 17 urban primary healthcare facilities of Bhubaneswar to assess the healthcare utilization and out-of-pocket expenditure among type 2 diabetes patients attending these facilities. Healthcare utilization was determined by the number of visits to healthcare facilities in the last 6 months, and out-of-pocket expenditure was assessed by outpatient consultation fees, medicines, travels to health care facilities, and diagnostic tests. Total out-of-pocket expenditure was defined as the sum of these costs. Results: The median number of visits in 6 months for diabetes patients with any comorbidity was 4 and 5 for diabetes patients with more than 4 comorbidities. Among the comorbid conditions, depression, stroke, auditory impairment, and acid peptic disease were associated with higher healthcare utilization. The total out-of-pocket expense was 2.3 times higher among diabetes patients with any comorbid condition compared to patients with diabetes only. The total median expenditure was higher for diabetes patients having stroke, heart diseases, kidney diseases, and cancer compared with other comorbid conditions. The association of comorbidity in diabetes patients with health care utilization and out-of-pocket expenditure is statistically significant after adjustment for sociodemographic characteristics and diabetes duration. Conclusion: Considerable expenditure is incurred by diabetes patients attending primary healthcare facilities for the management of diabetes and other chronic conditions. This is a significant burden for diabetes patients below the poverty line and with limited or no insurance cover. There is a need to increase the coverage of insurance schemes to address the chronic conditions management expenditure of outpatients.

Do clinical practice guidelines consider evidence about diagnostic test consequences on patient-relevant outcomes? A critical document analysis.

RATIONALE, AIMS AND OBJECTIVES: Supporting evidence for diagnostic test recommendations in clinical practice guidelines (CPGs) should not only include diagnostic accuracy, but also downstream consequences of the test result on patient-relevant outcomes. The aim of this study is to assess the extent to which evidence-based CPGs about diagnostic tests cover all relevant test-treatment pathway components. METHODS: We performed a systematic document analysis and quality assessment of publicly accessible CPGs about three common diagnostic tests: C-reactive protein, colonoscopy and fractional exhaled nitric oxide. Evaluation of the impact of the full test-treatment pathway (diagnostic accuracy, burden of the test, natural course of target condition, treatment effectiveness, and link between test result and administration of treatment) on patient relevant outcomes was considered best practice for developing medical test recommendations. RESULTS: We retrieved 15 recommendations in 15 CPGs. The methodological quality of the CPGs varied from poor to excellent. Ten recommendations considered diagnostic accuracy. Four of these were funded on a systematic review and rating of the certainty in the evidence. None of the CPGs evaluated all steps of the test-treatment pathway. Burden of the test was considered in three CPGs, but without systematically reviewing the evidence. Natural course was considered in two CPGs, without a systematic review of the evidence. In three recommendations, treatment effectiveness was considered, supported with a systematic review and rating of the certainty in the evidence in one CPG. The link between test result and treatment administration was not considered in any CPG. CONCLUSIONS: The included CPGs hardly seem to consider evidence about test consequences on patient-relevant outcomes. This might be explained by reporting issues and challenging methodology. Future research is needed to investigate how to facilitate guideline developers in explicit reliable consideration of all steps of a test-treatment pathway when developing diagnostic test recommendations.

Optimising personal continuity for older patients in general practice: a study protocol for a cluster randomised stepped wedge pragmatic trial.

BACKGROUND: Continuity of care, in particular personal continuity, is a core principle of general practice and is associated with many benefits such as a better patient-provider relationship and lower mortality. However, personal continuity is under pressure due to changes in society and healthcare. This affects older patients more than younger patients. As the number of older patients will double the coming decades, an intervention to optimise personal continuity for this group is highly warranted. METHODS: Following the UK Medical Research Council framework for complex Interventions, we will develop and evaluate an intervention to optimise personal continuity for older patients in general practice. In phase 0, we will perform a literature study to provide the theoretical basis for the intervention. In phase I we will define the components of the intervention by performing surveys and focus groups among patients, general practitioners, practice assistants and practice nurses, concluded by a Delphi study among members of our group. In phase II, we will test and finalise the intervention with input from a pilot study in two general practices. In phase III, we will perform a stepped wedge cluster randomised pragmatic trial. The primary outcome measure is continuity of care from the patients' perspective, measured by the Nijmegen Continuity Questionnaire. Secondary outcome measures are level of implementation, barriers and facilitators for implementation, acceptability and feasibility of the intervention. In phase IV, we will establish the conditions for large-scale implementation. DISCUSSION: This is the first study to investigate an intervention for improving personal continuity for older patients in general practice. If proven effective, our intervention will enable General practitioners to improve the quality of care for their increasing population of older patients. The pragmatic design of the study will enable evaluation in real-life conditions, facilitating future implementation. TRIAL REGISTRATION NUMBER: Netherlands Trial Register, trial NL8132 . Registered 2 November 2019.

Challenges of Research on Person-Centered Care in General Practice: A Scoping Review.

Background: Delivering person-centered care is one of the core values in general practice. Due to the complexity and multifaceted character of person-centered care, the effects of person-centered care cannot be easily underpinned with robust scientific evidence. In this scoping review we provide an overview of research on effects of person-centered care, exploring the concepts and definitions used, the type of interventions studied, the selected outcome measures, and its strengths and limitations. Methods: Systematic reviews on person-centered care compared to usual care were included from Pubmed, Embase, and PsycINFO. The search was conducted in February 2021. Data selection and charting was done by two reviewers. Results: The literature search yielded 481 articles. A total of 21 full-text articles were assessed for eligibility for inclusion. Four systematic reviews, published between 2012 and 2018, were finally included in this review. All reviews used different definitions and models and classified the interventions differently. The explicit distinction between interventions for providers and patients was made in two systematic reviews. The classification of outcomes also showed large differences, except patient satisfaction that was shared. All reviews described the results narratively. One review also pooled the results on some outcome measures. Most studies included in the reviews showed positive effects, in particular on process outcomes. Mixed results were found on patient satisfaction and clinical or health outcomes. All review authors acknowledged limitations due to lack of uniform definitions, and heterogeneity of interventions and outcomes measures. Discussion: Person-centered care is a concept that seems obvious and understandable in real life but is complex to operationalize in research. This scoping review reinforces the need to use mixed qualitative and quantitative methods in general practice research. For spreading and scaling up person-centered care, an implementation or complexity science approach could be used. Research could be personalized by defining therapeutic goals, interventions, and outcome variables based on individual preferences, goals, and values and not only on clinical and biological characteristics. Observational data and patient satisfaction surveys could be used to support quality improvement. Integrating research, education, and practice could strengthen the profession, building on the fundament of shared core values.

Managing diabetes mellitus with comorbidities in primary healthcare facilities in urban settings: a qualitative study among physicians in Odisha, India.

AIM: To explore the perceived barriers and facilitators in the management of the patients having diabetes with comorbidities by primary care physicians. METHODS: A qualitative In-Depth Interview study was conducted among the primary care physicians at seventeen urban primary health care centres at Bhubaneswar city of Odisha, India. The digitally recorded interviews were transcribed verbatim and translated into English. The data were analysed using thematic analysis. RESULTS: Barriers related to physicians, patients and health system were identified. Physicians felt lack of necessary knowledge and skills, communication skills and overburdening due to multiple responsibilities to be major barriers to quality care. Patients' attitude and beliefs along with socio-economic status played an important role in treatment adherence and in the management of their disease conditions. Poor infrastructure, irregular medicine supply, and shortage of skilled allied health professionals were also found to be barriers to optimal care delivery, as was the lack of electronic medical records and personal treatment records. CONCLUSION: Comprehensive guidelines with on the job training for capacity building of the physicians and creation of multidisciplinary teams at primary care level for a more holistic approach towards management of diabetes with comorbidities could be the way forward to optimal delivery of care.

[Primary health care through the eyes of the general practitioner; an international study]. / Eerstelijnszorg door de ogen van de huisarts.

This study is based on a large international survey, which collected the views of general practitioners (GPs) in 11 different countries on their respective healthcare systems in 2019. Findings show that Dutch GPs are positive about the quality of GP care and that they are satisfied with their profession. However, findings also show that there is room for improvement. (i) Work pressure and work-related stress among GPs is high in the Netherlands, which may be due to moves to substitute primary care for some hospital care. (ii) Dutch GPs are behind other high-income countries in their uptake of some digital applications (e.g. video consultations). (iii) According to Dutch GPs, pressure from patients, lack of time, and fear of complaints contributes to provision of low-value care. The COVID-19 epidemic has created opportunities to improve Dutch GP care further, for example through wider uptake of digital health applications.

[Distinguishing people by ethnic background in healthcare]. / Onderscheid naar etnische afkomst.

Discrimination based on ethnic background and the use of terminology like 'Negro Race' in clinical practice guidelines have been criticized, also in this journal. Typical Dutch words 'allochtonen', 'non-western', 'Creools' and 'Hindostan' are unspecific or could also offend people. Nevertheless, there are health risks related to ethnic background. Healthcare improves when health professionals would consider these, contributing to person centred cultural sensitive care. Therefore, we aimed to start a discussion about which acceptable terminologies should be used to describe ethnic differences in guidelines and research. We suggest that terminologies use to describe ethnic minority groups should be as precise as possible and should not be offensive, for instance 'migration background' instead of allochtoon, and 'African-Surinamese' instead of Creool. We invite guideline developers, researchers and people of different ethnic background, to join this discussion.

Impact of comorbidity on health-related quality of life among type 2 diabetic patients in primary care.

BACKGROUND: Health-related quality of life (HRQL) is an important outcome for chronic diseases such as diabetes mellitus that is associated with complications, comorbidities, and lifelong care. OBJECTIVES: The present study aims to explore the impact of comorbidities on the different dimensions of HRQL among type 2 diabetic patients attending primary care. METHODS: A total of 912 type 2 diabetic patients attending primary care centers in India were assessed using a predesigned and pretested questionnaire - Diabetes Comorbidity Evaluation Tool in Primary Care. The HRQL was measured by physical and mental health summary scores [physical component summary (PCS) and mental component summary (MCS)] of the Short Form Health Survey 12. The associations of sociodemographic variables and clinical variables with PCS and MCS were assessed, and a minimal difference of 5 in the scores (on a scale of 0-100) was kept as clinically relevant difference for this study. Mean differences in mental (MCS) and physical (PCS) scores of quality of life by number and type of comorbid conditions in type 2 diabetic patients were calculated. RESULT: The presence of comorbid conditions was associated with lower scores of PCS and MCS (P < 0.001). Significant reduction in HRQL was found with increase in number of comorbid conditions, and negative association was established between the number of comorbidities and the PCS (r = -0.25, P < 0.0001) and MCS scores (r = -0.21, P < 0.0001). Among comorbidities, acid peptic disease, chronic lung disease, visual impairment, depression, and stroke had significantly and clinically relevant reduced scores. Duration of diabetes, use of insulin, and obesity were also associated with poor HRQL. CONCLUSION: Comorbidities considerably impair the HRQL among type 2 diabetic patients. National programs designed for diabetes management should also take into account the challenges of coexisting chronic conditions and its substantial effect on HRQL.